Senior AI/ML & Data Engineer - Islamabad

Posted Yesterday
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Lahore, Punjab, PAK
In-Office
Senior level
Information Technology • Software
The Role
Design and deploy scalable AI/ML and data engineering solutions using Python, SQL, machine learning, generative AI, LLMs, data pipelines, and cloud platforms. Engage clients through discovery calls, presentations, demos, proposals, estimates, and solution architecture discussions. Partner with sales and leadership to develop and close opportunities, address technical objections, build relationships, and ensure successful project handoffs.
Summary Generated by Built In

At Devsinc, we are looking for a highly skilled AI/ML & Data Engineer with strong technical expertise, excellent communication skills, and the ability to engage with clients and drive opportunities toward closure. The ideal candidate will combine hands-on engineering capabilities with strong business acumen - someone who can understand complex client requirements, architect the right solution, present it confidently, and help convert opportunities into successful projects.


Requirements

Responsibilities:

  •  Design, develop, and deploy scalable AI/ML and Data Engineering solutions.
  • Work hands-on with Python, SQL, machine learning, data pipelines, APIs, databases, and cloud platforms.
  • Develop solutions using Generative AI, LLMs, RAG, NLP, predictive analytics, and AI/ML frameworks.
  • Design and implement data warehouses, data lakes, ETL/ELT pipelines, and data processing solutions.
  • Evaluate technical requirements and recommend the most appropriate architecture, tools, and technologies.
  • Engage directly with clients to understand their business and technical challenges.
  • Lead technical discovery calls, presentations, solution discussions, demos, and POCs.
  • Prepare technical proposals, solution architectures, project scopes, estimates, and SOWs.
  • Work closely with Sales and leadership to identify, develop, and close new project opportunities.
  • Address technical objections and communicate complex solutions in a clear, business-focused manner.
  • Build strong client relationships and identify opportunities for upselling and long-term engagements.
  • Collaborate with engineering and delivery teams to ensure successful project handover and execution.

Qualification & Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.
  • 4–8 years of relevant professional experience in AI/ML, Data Engineering, Data Science, or a related domain.
  • Strong proficiency in Python and SQL.
  • Hands-on experience with Machine Learning, Deep Learning, NLP, and Generative AI.
  • Experience with LLMs, RAG, embeddings, vector databases, and AI agents is highly desirable.
  • Strong knowledge of ETL/ELT, data pipelines, data modeling, databases, and data warehousing.
  • Experience with AWS, Azure, or GCP.
  • Familiarity with ML/AI frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
  • Experience with APIs, microservices, Git, CI/CD, and production deployment.
  • Strong understanding of system architecture, scalability, performance, and data security.
  • Strong hands-on technical and problem-solving capabilities.
  • Excellent verbal and written communication skills.
  • Strong client-facing, presentation, negotiation, and stakeholder-management skills.
  • Ability to translate technical solutions into clear business value.
  • Proven ability to take ownership of opportunities and drive them from discovery to closure.
  • Commercially driven, proactive, and comfortable working with both technical and business stakeholders.

Benefits
  • Provident Fund
  • Medical Inpatient & Outpatient Facilities
  • Paid Overtime
  • Engaging Company Activities
  • Sports Allowance

Skills Required

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field
  • 4–8 years of relevant professional experience in AI/ML, Data Engineering, Data Science, or a related domain
  • Strong proficiency in Python and SQL
  • Hands-on experience with Machine Learning, Deep Learning, NLP, and Generative AI
  • Experience with LLMs, RAG, embeddings, vector databases, and AI agents
  • Strong knowledge of ETL/ELT, data pipelines, data modeling, databases, and data warehousing
  • Experience with AWS, Azure, or GCP
  • Familiarity with TensorFlow, PyTorch, Scikit-learn, or similar AI/ML frameworks
  • Experience with APIs, microservices, Git, CI/CD, and production deployment
  • Understanding of system architecture, scalability, performance, and data security
  • Strong hands-on technical and problem-solving capabilities
  • Excellent verbal and written communication skills
  • Client-facing, presentation, negotiation, and stakeholder-management skills
  • Ability to translate technical solutions into clear business value
  • Ability to drive opportunities from discovery to closure
  • Commercially driven, proactive, and comfortable working with technical and business stakeholders

Devsinc Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Devsinc and has not been reviewed or approved by Devsinc.

  • Healthcare Strength OPD and IPD medical coverage, along with health insurance mentions, indicate a meaningful healthcare offering.
  • Flexible Benefits Work-from-home options, workation opportunities, and paid leave point to flexible arrangements for where and when work is done.
  • Wellbeing & Lifestyle Benefits Access to gyms and salons, plus various allowances and occasional trips or events, add lifestyle value beyond base pay.

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The Company
HQ: Santa Clara, CA
1,934 Employees

What We Do

We integrate global leaders in web development with passionate Asian talent to get a unique blend of Quality and Affordability. We are headquartered in California and work consistent eastern and pacific standard hours. We like ad hoc pairing as necessary, TDD, and working with other agencies to make things happen. We contribute to open source projects and genuinely enjoy coding. We are also committed to teaching, and spreading knowledge!

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